Find Eigenvectors for x=2 of Matrix A: Help!

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Homework Help Overview

The discussion revolves around finding the eigenvectors corresponding to the eigenvalue x=2 of a given 3x3 matrix. The matrix has been identified, and it is noted that x=3 is another eigenvalue with a known eigenvector. The original poster expresses confusion regarding the process of finding the eigenvectors associated with x=2, especially given its multiplicity of 2.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the row reduction of the matrix (A - 2I) and the implications of the resulting equations for the eigenvectors. There is a focus on the relationships between the components of the eigenvectors and the linear combinations that can be formed from them. Questions arise regarding the validity of certain eigenvector forms and the reasoning behind them.

Discussion Status

Several participants are actively engaging with the original poster's attempts, providing insights into the nature of the eigenvectors and clarifying misconceptions. There is a recognition that multiple eigenvectors can be derived from the same eigenspace, and some participants suggest specific forms of the eigenvectors while others express uncertainty about the reasoning behind these forms.

Contextual Notes

There is an emphasis on the multiplicity of the eigenvalue x=2, which suggests that there should be more than one linearly independent eigenvector associated with it. The original poster's attempts to find a second eigenvector are met with confusion, leading to discussions about the general form of the solutions and the nature of linear combinations in this context.

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Homework Statement


Given the matrix

1 1 1
-1 3 1
-1 1 3

x=3 is an eigenvalue and (1,1,1) is a corresponding eigenvector
x=2 is an eigenvalue of A of multiplicity 2

Find the eigenvector(s) corresponding to x=2

The Attempt at a Solution



(A-AI)=
-1 1 1
-1 1 1
-1 1 1

which row reduces to

-1 1 1
0 0 0
0 0 0

and the formula for the eigenvector is therefore x1=x2+x3

so I get (2,1,1) for the eigenvector but when I solve for the second eigenvector I basically get no solution

-1 1 1 | 2
-1 1 1 | 1
-1 1 1 | 1

R1-R2=>R1
====>

0 0 0 |1
-1 1 1 | 1
-1 1 1 | 1

R2-R3=>R3
====>

0 0 0 | 1
-1 1 1 | 1
0 0 0 | 0

What am I doing wrong? Help please...I have a final tomorrow! Thanks
 
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moco89 said:

Homework Statement


Given the matrix

1 1 1
-1 3 1
-1 1 3

x=3 is an eigenvalue and (1,1,1) is a corresponding eigenvector
x=2 is an eigenvalue of A of multiplicity 2

Find the eigenvector(s) corresponding to x=2

The Attempt at a Solution



(A-AI)=
-1 1 1
-1 1 1
-1 1 1
You mean A - 2I.
moco89 said:
which row reduces to

-1 1 1
0 0 0
0 0 0

and the formula for the eigenvector is therefore x1=x2+x3
Actually, you should get
x1 = x2 + x3
x2 = x2
x3 = ... + x3

So all vectors in the eigenspace of this eigenvalue (lambda = 2) are linear combinations of <1, 1, 0> and <1, 0, 1>.
moco89 said:
so I get (2,1,1) for the eigenvector but when I solve for the second eigenvector I basically get no solution

-1 1 1 | 2
-1 1 1 | 1
-1 1 1 | 1

R1-R2=>R1
====>

0 0 0 |1
-1 1 1 | 1
-1 1 1 | 1

R2-R3=>R3
====>

0 0 0 | 1
-1 1 1 | 1
0 0 0 | 0

What am I doing wrong? Help please...I have a final tomorrow! Thanks
 
Mark44 said:
You mean A - 2I.

Actually, you should get
x1 = x2 + x3
x2 = x2
x3 = ... + x3

So all vectors in the eigenspace of this eigenvalue (lambda = 2) are linear combinations of <1, 1, 0> and <1, 0, 1>.

Why does x2=x2 and x3=...+x3?

I still don't understand why the eigenvectors are [1,1,0] and [1,0,1] instead of [2,1,1] and [3,1,2] for example.

I am missing a key point here, and I really need your help.
 
Last edited:
Mark was just writing down the obviously true statements that x2=x2 and x3=x3 to suggest what the solution is in terms of vectors.

\vec{x} = \begin{bmatrix}x_1 \\ x_2 \\ x_3 \end{bmatrix} = x_2\begin{bmatrix}1 \\ 1 \\ 0 \end{bmatrix} +<br /> x_3\begin{bmatrix}1 \\ 0 \\ 1 \end{bmatrix}

Note the two vectors [2,1,1] and [3,1,2] are linear combinations of [1,1,0] and [1,0,1]. All four vectors are eigenvectors.
 
vela said:
Mark was just writing down the obviously true statements that x2=x2 and x3=x3 to suggest what the solution is in terms of vectors.

\vec{x} = \begin{bmatrix}x_1 \\ x_2 \\ x_3 \end{bmatrix} = x_2\begin{bmatrix}1 \\ 1 \\ 0 \end{bmatrix} +<br /> x_3\begin{bmatrix}1 \\ 0 \\ 1 \end{bmatrix}

Note the two vectors [2,1,1] and [3,1,2] are linear combinations of [1,1,0] and [1,0,1]. All four vectors are eigenvectors.

Thanks a lot to both of you!

You helped me a lot.
 
moco89 said:

Homework Statement


Given the matrix

1 1 1
-1 3 1
-1 1 3

x=3 is an eigenvalue and (1,1,1) is a corresponding eigenvector
x=2 is an eigenvalue of A of multiplicity 2

Find the eigenvector(s) corresponding to x=2

The Attempt at a Solution



(A-AI)=
-1 1 1
-1 1 1
-1 1 1

which row reduces to

-1 1 1
0 0 0
0 0 0

and the formula for the eigenvector is therefore x1=x2+x3

so I get (2,1,1) for the eigenvector but when I solve for the second eigenvector I basically get no solution
(2, 1, 1) is ONE solution to x1= x2+ x3 but not all- nor are all solutions multiples of that one. x1= x2+ x3 means your eigenvectors must be of the form (x1, x2, x3)= (x2+ x3, x2, x3)= (x2, x2, 0)+ (x3, 0, x3)= x2(1, 1, 0)+ x3(1, 0, 1).

-1 1 1 | 2
-1 1 1 | 1
-1 1 1 | 1

R1-R2=>R1
====>

0 0 0 |1
-1 1 1 | 1
-1 1 1 | 1

R2-R3=>R3
====>

0 0 0 | 1
-1 1 1 | 1
0 0 0 | 0

What am I doing wrong? Help please...I have a final tomorrow! Thanks
 

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